Head of Data Science - Identity & Compliance

Head of Data Science, Identity & Compliance New York, San Francisco, Seattle, or Miami (Hybrid) We're partnering with an industry-leading technology company that is redefining how organizations combat fraud, verify identities, and manage risk through advanced data science and AI. This is a highly visible executive leadership opportunity for a data science leader who can combine deep analytical expertise with market-facing thought leadership. You'll lead research initiatives, shape product strategy, influence executive decision-making, and help define the future of identity and fraud intelligence. What You'll Do Lead and grow a high-performing team of Data Scientists, Researchers, and Analysts. Develop innovative research around fraud, identity risk, compliance, and emerging financial crime trends. Leverage large-scale behavioral, transactional, device, and network datasets to identify evolving threats and uncover actionable insights. Partner closely with Product, Engineering, AI, and Executive Leadership teams to transform research findings into product innovation and competitive differentiation. Serve as a public thought leader through industry conferences, publications, customer engagements, and market-facing research. Translate complex analytical findings into compelling narratives for executives, regulators, customers, and technical stakeholders. Influence strategic business decisions through data-driven insights and forward-looking intelligence. What We're Looking For 10+ years of experience in Data Science, Fraud Analytics, Risk Research, Quantitative Economics, or a related discipline. Deep expertise in fraud prevention, identity verification, financial crime, AML, risk management, or adjacent domains. Strong background in causal inference, econometrics, machine learning, statistical modeling, and predictive analytics. Experience analyzing large-scale datasets and extracting business-critical insights. Proven success building, mentoring, and leading high-performing technical teams. Exceptional communication skills with the ability to engage both highly technical and executive audiences. Preferred Qualifications MS or PhD in Statistics, Economics, Computer Science, Mathematics, Data Science, or a related quantitative field. Experience in fintech, financial services, payments, credit, trust & safety, or identity verification. Exposure to graph analytics, network modeling, fraud ring detection, or advanced AI/ML applications. Published research, conference speaking experience, or recognized thought leadership within the data science community. Why Join? Executive-level visibility and influence Opportunity to shape industry-leading research and innovation High-impact work at the intersection of AI, fraud prevention, compliance, and identity intelligence Collaborative environment with strong technical talent and leadership support #J-18808-Ljbffr Glocomms